CN114312060A - Processing system for printing defects - Google Patents
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- CN114312060A CN114312060A CN202111661610.2A CN202111661610A CN114312060A CN 114312060 A CN114312060 A CN 114312060A CN 202111661610 A CN202111661610 A CN 202111661610A CN 114312060 A CN114312060 A CN 114312060A
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Abstract
The invention provides a processing system for printing defects, which solves the problem of defects of fine white lines generated on a printed product due to random blockage of ink jetting holes of a spray head in the process of digital ink jet printing. The real pain point of the above mentioned defects is that if not timely treated, a large amount of productive waste is generated in the production of the printed matter in a batch, and if timely treatment is found, such productive waste can be minimized. To achieve the goal of timely discovering immediate processes, the required techniques include: the method comprises the steps of image rapid acquisition, data rapid analysis and system rapid response. However, according to market research, the above-mentioned technology further meets the requirements of low-cost image rapid acquisition, adaptive data rapid analysis, and rapid response of intelligent systems.
Description
Technical Field
The invention relates to the technical field of printers, in particular to a processing system for printing defects.
Background
At present, in the process of digital ink-jet printing, the defect of generating fine white lines on the printed product caused by random blockage of the ink-jet holes of the spray head has the real pain point that if not timely processed, a large amount of productive waste is generated in the production process of the batch of printed products.
Disclosure of Invention
Technical problem to be solved
In order to solve the above problems, the present invention provides a system for processing print defects.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme:
the invention provides a processing system of a printing defect, which comprises the following components:
starting printing, and starting an image dynamic acquisition control program while printing and typesetting;
calculating unit cell parameters;
establishing a comparison standard data matrix, setting the number of finished products and simultaneously acquiring image data;
comparing the printed image with the acquired image data;
judging the similarity, wherein the judging the similarity specifically comprises the following steps: the printed layout data is compared with the acquired image data,
if yes, starting a total printing control program to count finished products;
if not, starting a spray head cleaning program, cleaning and counting the spray heads, and simultaneously starting a total printing control program to count defective products;
counting the printed finished product count and the printed defective product count;
comparing the printed finished product number with the set finished product number,
if yes, stopping printing;
if not, continuing to execute the printing, and starting the image dynamic acquisition control program while printing and typesetting.
Further, the image acquisition in the image dynamic acquisition control program is completed based on the high-speed low-pixel array machine vision image acquisition and processing module.
Furthermore, the image acquisition program is realized through an image acquisition device, a control module is arranged in the image acquisition device, the image acquisition device controls the data processing after the image acquisition according to the algorithm downloaded by the system and the comparison with the reference image data, and transmits the comparison result to the system.
Furthermore, the unit cell parameter is based on the printed image after typesetting, the printed image is divided into M unit cells under N by N arrays in each row by taking the standard acquisition cell of the image of each camera established after the installation and positioning of the image acquisition processor as a unit, and a standard value is calculated for each unit cell by a set algorithm to position the printed image.
Furthermore, the unit element parameter comprises two positioning methods, one is a cross black mark positioning method, and the other is paper edge positioning.
Further, the cross black mark positioning method comprises the following steps: the system calculates a unit value for each image element after collection by using a set algorithm and compares the unit value with a standard value.
Furthermore, the paper edge is positioned by a laser positioning device carried by the image acquisition processor.
Advantageous effects
The invention has the beneficial effects that: the processing system for the printing defects solves the problem that fine white lines are generated on a printed product due to random blockage of ink jetting holes of a spray head in the digital ink jet printing process. The real pain point of the above mentioned defects is that if not timely treated, a large amount of productive waste is generated in the production of the printed matter in a batch, and if timely treatment is found, such productive waste can be minimized. To achieve the goal of timely discovering immediate processes, the required techniques include: the method comprises the steps of image rapid acquisition, data rapid analysis and system rapid response. However, according to market research, the above-mentioned technology further meets the requirements of low-cost image rapid acquisition, adaptive data rapid analysis, and rapid response of intelligent system, and has the following advantages:
1. image acquisition is performed as soon as printing is finished, if fine white line flaws caused by blockage of an ink jet nozzle occur, the image acquisition is immediately processed, so that only one waste product is generated, and waste of materials, consumables, manpower and the like is avoided.
2. And after the treatment is finished, the intelligent entry of the order supplementing program is automatically carried out according to the preset requirements of the user, so that the waste is further reduced, and the cost is reduced.
3. Supporting most digital inkjet printing devices.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention without limiting the invention in which:
FIG. 1 is a flow chart of a system for processing print defects according to the present invention;
FIG. 2 is a schematic diagram of an image acquisition processor according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to more clearly and completely describe the technical scheme of the invention, the invention is further described with reference to the accompanying drawings.
Referring to fig. 1 to 2, the present invention provides a processing system for a print defect, which includes the following components:
starting printing, and starting an image dynamic acquisition control program while printing and typesetting;
calculating unit cell parameters;
establishing a comparison standard data matrix, setting the number of finished products and simultaneously acquiring image data;
comparing the printed image with the acquired image data;
judging the similarity, wherein the judging the similarity specifically comprises the following steps: the printed layout data is compared with the acquired image data,
if yes, starting a total printing control program to count finished products;
if not, starting a spray head cleaning program, cleaning and counting the spray heads, and simultaneously starting a total printing control program to count defective products;
counting the printed finished product count and the printed defective product count;
comparing the printed finished product number with the set finished product number,
if yes, stopping printing;
if not, continuing to execute the printing, and starting the image dynamic acquisition control program while printing and typesetting.
Further, the image acquisition in the image dynamic acquisition control program is completed based on the high-speed low-pixel array machine vision image acquisition and processing module.
Furthermore, the image acquisition program is realized through an image acquisition device, a control module is arranged in the image acquisition device, the image acquisition device controls the data processing after the image acquisition according to the algorithm downloaded by the system and the comparison with the reference image data, and transmits the comparison result to the system.
Furthermore, the unit cell parameter is based on the printed image after typesetting, the printed image is divided into M unit cells under N by N arrays in each row by taking the standard acquisition cell of the image of each camera established after the installation and positioning of the image acquisition processor as a unit, and a standard value is calculated for each unit cell by a set algorithm to position the printed image.
Furthermore, the unit element parameter comprises two positioning methods, one is a cross black mark positioning method, and the other is paper edge positioning.
Further, the cross black mark positioning method comprises the following steps: the system calculates a unit value for each image element after collection by using a set algorithm and compares the unit value with a standard value.
Furthermore, the paper edge is positioned by a laser positioning device carried by the image acquisition processor.
In the embodiment, the defect that fine white lines are generated on the printed product due to random blockage of the ink jetting holes of the nozzle is a real pain point of a large amount of productive waste generated in the production process of batch printed products if the defect is not processed in time, in order to find the fine white line defect in time, a processing system for printing the defect is adopted, and the acquisition module dynamically acquires a printed image and uses a CPU (central processing unit) system on the module to process image data in real time.
In the printing process, starting a processing system of the printing flaws, starting printing, and starting an image dynamic acquisition control program while printing and typesetting; calculating unit cell parameters; if a pattern is printed on each piece of printing paper, parameters do not need to be calculated, if a plurality of patterns need to be printed on one piece of paper and the utilization rate of the area of the paper is ensured, unit element parameter calculation is needed, and then a comparison standard data matrix is established, the number of finished products is set, and image data are collected at the same time; comparing the printed image with the acquired image data; judging whether the patterns of the printed graph and the acquired data have deviation, if not, the printed graph and the acquired image data are completely consistent, starting a total printing control program, and counting finished products; accumulating the number of finished products, if the number of finished products is inconsistent, generating a defect problem of fine white lines on the printed product, and indicating that an ink jet hole of the nozzle is blocked randomly, starting a nozzle cleaning program, cleaning the nozzle, recording the cleaning count of the nozzle, and simultaneously starting a total printing number control program to count defective products; counting the printed finished product count and the printed defective product count; and stopping printing until the number of printed finished products is the same as the set number of finished products, and if the number of printed finished products does not reach the set number of finished products, continuing to execute printing, printing and typesetting and starting an image dynamic acquisition control program.
The core of the invention is that the system compares the collection element of each printed image with the known image metadata mapped by the collection element through an algorithm. There are 2 key points, one of which is the setting of the known image metadata; the second is the design of the algorithm.
Once the defect of the thin and white line is found, the system software stops the printing process and drives the printing nozzle self-cleaning program (only suitable for the printing equipment with the function). And when the self-cleaning of the spray head is finished, the production is restarted. If the problem still exists, starting software to alarm; and if the production is normal, the system software starts an intelligent order supplementing program according to the order supplementing setting of the client.
The image acquisition is completed based on a high-speed low-pixel array machine vision image acquisition and processing module, and the cost is low because of low pixels; through the array structure, the acquisition precision is improved, and the image acquisition processor can design the composition number N of the array as required. The example illustrated in fig. 1 uses 4 cameras in an array. The image collector is internally provided with a control module which controls the data processing after the image collection according to the algorithm downloaded by the system, compares the data with the reference image data and transmits the comparison result to the system.
Picture element technique
The invention uses the typeset printed image as a basis, uses the standard acquisition element of each camera image established after the image acquisition processor is installed and positioned as a unit, divides the printed image into N lower M unit elements by N arrays in each row, and calculates the standard value by a set algorithm (such as covariance) for each unit element.
For positioning the printed image, the invention adopts the following two methods:
a cross-shaped black mark positioning method,
in this mode, the system calculates a unit value for each image element after acquisition using a set algorithm (e.g., covariance) and compares the unit value to a standard value.
For the layout data (including the layout area) without the cross black mark, the paper edge can be used for positioning, but the laser positioning setting device carried by the image acquisition processor is used.
The main control functions are as follows:
1. composition data decomposition
The layout data may include: the starting point position, the cross mark position, the material parameters, the production data and the like are decomposed to be used as system control parameters.
2. Single-bit standard data modeling
Modeling is carried out on the standard data of comparison based on the unit cell parameters, and the standard of comparison is calculated for each line of collected images by unit cell values.
3. Acquisition timing control
The time sequence of starting and stopping each acquisition is controlled in real time based on the printing speed of the printer, and if the operation time of the system for each acquisition is slower than the printing speed, an alarm mechanism is started.
4. Management of comparison results
If the fine white line defect is found for the first time, starting the spray head cleaning program, and immediately finding the second time after cleaning is finished, cleaning again. The maximum number of washes may be set by the user. If the fine white line flaw still exists, an alarm mechanism is started.
5. Showerhead purge control
The cleaning process of the spray head is controlled according to the requirements of the printer
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to similar items in the following figures, and thus, once an item is defined in one figure, it need not be discussed further in subsequent figures.
In the description of the present application, it is to be understood that the orientation or positional relationship indicated by the directional terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal" and "top, bottom", etc., are generally based on the orientation or positional relationship shown in the drawings, and are used for convenience of description and simplicity of description only, and in the case of not making a reverse description, these directional terms do not indicate and imply that the device or element being referred to must have a particular orientation or be constructed and operated in a particular orientation, and therefore, should not be considered as limiting the scope of the present application; the terms "inner and outer" refer to the inner and outer relative to the profile of the respective component itself.
Spatially relative terms, such as "above … …," "above … …," "above … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial relationship to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is turned over, devices described as "above" or "on" other devices or configurations would then be oriented "below" or "under" the other devices or configurations. Thus, the exemplary term "above … …" can include both an orientation of "above … …" and "below … …". The device may be otherwise variously oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
It should be noted that the terms "first", "second", and the like are used to define the components, and are only used for convenience of distinguishing the corresponding components, and the terms have no special meanings unless otherwise stated, and therefore, the scope of protection of the present application is not to be construed as being limited.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A print defect handling system, comprising:
starting printing, and starting an image dynamic acquisition control program while printing and typesetting;
calculating unit cell parameters;
establishing a comparison standard data matrix, setting the number of finished products and simultaneously acquiring image data;
comparing the printed image with the acquired image data;
judging the similarity, wherein the judging the similarity specifically comprises the following steps: the printed layout data is compared with the acquired image data,
if yes, starting a total printing control program to count finished products;
if not, starting a spray head cleaning program, cleaning and counting the spray heads, and simultaneously starting a total printing control program to count defective products;
counting the printed finished product count and the printed defective product count;
comparing the printed finished product number with the set finished product number,
if yes, stopping printing;
if not, continuing to execute the printing, and starting the image dynamic acquisition control program while printing and typesetting.
2. The system of claim 1, wherein the image capture in the dynamic image capture control routine is based on a high speed low pixel array machine vision image capture and processing module.
3. The system for processing printing defects according to claim 2, wherein the image acquisition program is implemented by an image acquisition device, the image acquisition device is internally provided with a control module, and the control module is used for controlling the data processing after image acquisition and the comparison with reference image data according to an algorithm downloaded by the system and transmitting the comparison result to the system.
4. The system of claim 1, wherein the unit cell parameters are based on the laid out print image, wherein the N arrays per row divide the print image into N lower M unit cells in units of standard capture cells of the image for each camera established after the image capture processor is mounted in position, and wherein the standard values are calculated for each unit cell using a set algorithm to locate the printed image.
5. The system of claim 1, wherein the unit cell parameters include two positioning methods, one is cross black mark positioning and the other is edge paper positioning.
6. The print defect management system of claim 5, wherein said cross black mark positioning method comprises: the system calculates a unit value for each image element after collection by using a set algorithm and compares the unit value with a standard value.
7. The system of claim 5, wherein the edge positioning is performed by a laser positioning device associated with the image capture processor.
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